Compressor reliability and durability testing has historically required significant time and a variety oftest methods, including basic materials and lubricants testing using Falex test methods or equivalent, long term compressor bench tests, end product reliability tests and final field trials before production release. Reducing the total design cycle time to a minimum, while maintaining a high...

Abstract A fault diagnosis approach for roller bearings utilizing deep transfer learning and adaptive weighting is suggested to address the issue that extra state samples in target domain data of impair diagnostic accuracy. CNN-LSTM a network model proposed by Lecun et al., which has good performance image processing processing. It can effectively apply predictive local perception time series w...